QxBranch’s Quantum Feature Detector (QxQFD) is a Python library providing a class of quantum machine learning functions.
It provides a simple interface for using quantum transformations to detect features in data as part of a machine
learning application stack using Rigetti’s Forest back-end.

This documentation does not explain quantum computing. While an understanding of the topic is not necessary to use
this Quantum Feature Detector library, it will help you to appreciate the content and motivation. We recommend
The Best Resources for Learning about Quantum Computing by John Coogan, a comprehensive collection of resources
for those looking to learn about quantum computing.